Data-driven classification of bipolar I disorder from longitudinal course of mood.
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ABSTRACT:
SUBMITTER: Cochran AL
PROVIDER: S-EPMC5315544 | biostudies-other | 2016 Oct
REPOSITORIES: biostudies-other
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Data-driven classification of bipolar I disorder from longitudinal course of mood.
Cochran A L AL McInnis M G MG Forger D B DB
Translational psychiatry 20161011 10
The Diagnostic and Statistical Manual of Mental Disorder (DSM) classification of bipolar disorder defines categories to reflect common understanding of mood symptoms rather than scientific evidence. This work aimed to determine whether bipolar I can be objectively classified from longitudinal mood data and whether resulting classes have clinical associations. Bayesian nonparametric hierarchical models with latent classes and patient-specific models of mood are fit to data from Longitudinal Inter ...[more]
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